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| Product Overview |
|---|
The 338-BZRW Dell AMD EPYC 7763 2.45GHz 64-Core Processor features a 64-core configuration with a 2.45GHz base frequency, designed to handle multi-threaded and compute-intensive applications in enterprise server environments. |
| General Information | |
|---|---|
| Brand | Dell |
| Part Number | 338-BZRW |
| Technical Information | |
|---|---|
| Processor Family | EPYC Milan |
| # Of Cores | 64 Core |
| Total Threads | 128 |
| Max Turbo Frequency | 3.5 GHz |
| Base Clock Speed | 2.45 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Cache | 256 MB |
| Thermal Design Power | 280 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 4 TB |
| Memory Types | DDR4 |
| Max Memory Channels | 8 |
| Bandwidth | 204.8 GB/s |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The Dell AMD EPYC 7763 2.45GHz 64-Core Processor is engineered to deliver exceptional computational power for enterprise-grade servers and data centers. Featuring 64 cores, this processor provides robust multi-threading capabilities that accelerate complex workloads and large-scale computing tasks. This processor is generally found in high-performance computing environments where parallel processing and high core counts are critical. IT professionals, data scientists, and system administrators benefit from its ability to handle intensive applications such as virtualization, cloud infrastructure, and big data analytics. Key Features
This processor offers a balance of high core count and efficient performance, making it suitable for modern data centers that require scalable and reliable hardware. Its architecture supports demanding workloads while maintaining operational efficiency. |
| Use Cases |
|---|
This processor is ideal for environments requiring substantial processing power and scalability. How It's Used:
These use cases leverage the processor's high core count and multi-threading capabilities to improve performance and efficiency across complex workloads. |